Machine Learning Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

The R&D Data Science and Digital Health (DSDH) team within Johnson and Johnson innovative Medicine develops innovative technology solutions to gain efficiency in R&D.

Successful candidates will develop cutting-edge methodologies to drive global development decisions and positively impact the way we conduct trials for patients. We are looking for outstanding scientists whose responsibilities include:

• Develop machine learning and artificial intelligence solutions to accelerate and enable our R&D global drug development business processes
• Work in agile development teams to develop state of the art machine learning pipelines
• Contribute to patient modeling and trial simulations
• Implement and define execution strategies for individual AI and machine learning projects
• Process and transform data to impactful metrics maximizing productivity with artificial intelligence
• Closely partner with the data scientists to execute on the priorities, building a roadmap to deliver the projects from data feasibility to final presentation to senior cross-functional leaders
• Clearly articulate highly technical methods and results to partners to drive decision-making
• Build multi-modal machine learning pipelines using internal and external data such as clinical operations data, productivity data, real-world data, financial, and socio-demographic data

• A Bachelor or Master s degree with 2 years of experience within a start-up, technology, or healthcare industry or a Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, or similar)
• Experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression and classification, and natural language processing
• Proficiency with Python and SQL programming languages
• Proficiency in building impactful visualizations
• Experience building ETL frameworks including maintaining and measuring data quality and reporting. Experience with AWS Glue preferred
• Proficiency with a Linux environment
• Experience with at least one orchestration and MLOps tool, for example Jenkins, MLFlow, Airflow
• Passionate about leveraging data to drive scientific innovation
• Excellent interpersonal, communication, and presentation skills
• Ability to effectively communicate technical work to a wide audience
• Fluent in English